Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults

Abstract We present a data‐driven approach to clustering or grouping Global Navigation Satellite System (GNSS) stations according to observed velocities, displacements or other selected characteristics. Clustering GNSS stations provides useful scientific information, and is a necessary initial step...

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Autores principales: Robert Granat, Andrea Donnellan, Michael Heflin, Gregory Lyzenga, Margaret Glasscoe, Jay Parker, Marlon Pierce, Jun Wang, John Rundle, Lisa G. Ludwig
Formato: article
Lenguaje:EN
Publicado: American Geophysical Union (AGU) 2021
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Acceso en línea:https://doaj.org/article/f5ed864ab8614549a411c94e31e1128e
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